hadilq/hair-segment:e861d83e | Run with an API on Replicate

Version

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hadilq /hair-segment:e861d83e

Playground API

Input

Run this model in Node.js with one line of code:

npx create-replicate --model=hadilq/hair-segment

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run hadilq/hair-segment using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "hadilq/hair-segment:e861d83e519827c81ed516aec956847d25f9e9e362e7af7fa4a33b2e280f39ae",
  {
    input: {}
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run hadilq/hair-segment using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "hadilq/hair-segment:e861d83e519827c81ed516aec956847d25f9e9e362e7af7fa4a33b2e280f39ae",
    input={}
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.read())

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run hadilq/hair-segment using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "hadilq/hair-segment:e861d83e519827c81ed516aec956847d25f9e9e362e7af7fa4a33b2e280f39ae",
    "input": {}
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

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